WG4 - Digital Twins

OBJECTIVES

This Working Group pioneers the development of self-updating digital replicas of industrial combustion systems. By integrating high-fidelity numerical simulations and real-time data from experiments, we create sophisticated digital twins that predict and control the impact of renewable synthetic fuels (RSF) on various industrial processes. Our focus lies in advancing techniques for mapping complex data into digital spaces, enabling real-time monitoring and optimization of combustion systems.

DEVELOP

techniques for multi-fidelity data fusion, combining heterogeneous information into comprehensive digital twins.

IMPLEMENT

methods for mapping high-fidelity simulations into feature spaces while preserving essential data information.

DESIGN

strategies for continuously updating digital twins based on new data from experiments and simulations.

MEMBERS

Name	Country
Prof Wojciech ADAMCZYK	Poland
Dr Viktor JÓZSA	Hungary
Dr Tine SELJAK	Slovenia
Mr Artan LESKOVIKU	Albania
Dr Charalambos CHASOS	Cyprus
Prof Dagmar JUCHELKOVÁ	Czechia
Dr George SKEVIS	Greece
Dr Giancarlo SORRENTINO	Italy
Prof Nebojsa MANIC	Serbia
Prof Alexander LIBERZON	Israel
Prof Francesco CONTINO	Belgium
Dr Maria Virginia MANNA	Italy
Dr Stephen DOOLEY	Ireland
Dr Saritha UNNIKRISHNAN	Ireland
Prof Christophe DUWIG	Sweden
Prof Chiara GALLETTI	Italy
Ms Elisa STENDARDO	Belgium
Prof Luc VERVERVISCH	France
Prof Maria Vittoria SALVETTI	Italy
Dr Rachele LAMIONI	Italy
Dr Soledad LE CLAINCHE	Spain
Dr Riccardo MALPICA GALASSI	Italy
Prof Aurélie BELLEMANS	Belgium
Dr Davide BAROLI	Switzerland
Prof Eduard PETLENKOV	Estonia
Prof Michael MULTERER	Switzerland
Ms Luisa CASTELLANOS	Belgium
Dr Phuc-Danh NGUYEN	France
Mr Salvatore IAVARONE	Belgium
Prof Bernhard PETERS	Luxembourg
Prof Fazel ANSARI	Austria
Dr Hadi TABATABAEE	Ireland
Dr Milena RAJIĆ	Serbia
Prof Peter Gorm LARSEN	Denmark
Dr Clara GARCIA-SANCHEZ	Netherlands
Dr Michel DELANAYE	Belgium

GET INVOLVED

Are you passionate about digital innovation in industrial processes? Join our team of experts and industry leaders in shaping the future of Digital Twins. If you have expertise in data fusion, computational modeling, or industrial optimization, we invite you to collaborate with us.

JOIN US HERE

Av. Adolphe Buyl, 50, 1050 Bruxelles
cypher.costaction@gmail.com

COST

COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientist to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.